Validation of Ozone Monitoring Instrument NO<sub>2</sub> measurements using ground based NO<sub>2</sub> measurements at Zvenigorod, Russia

Груздев, А. Н.; Елохов, А. С.

doi:10.1080/01431160902893527

Cited by 30 publications

(11 citation statements)

References 20 publications

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“…According to this climatology, the mean difference in NO 2 content between the sites is about 0.15 DU (or 0.4 × 10 16 mol cm −2 ). The analysis of the climatology of the direct NO 2 measurements by spectral instruments have shown much higher difference of 0.3-0.5 DU (Elokhov and Gruzdev, 1998;Gruzdev and Elokhov, 2010;Ivanov et al, 2010) which corresponds much better to our estimates.…”

Section: Resultssupporting

confidence: 74%

Assessments of urban aerosol pollution in Moscow and its radiative effects

et al. 2011

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Abstract.Simultaneous measurements by the collocated AERONET CIMEL sun/sky photometers at the Moscow State University Meteorological Observatory (MSU MO) and at the Zvenigorod Scientific Station (ZSS) of the A. M. Obukhov Institute of Atmospheric Physics during September 2006-April 2009 provide the estimates of the effects of urban pollution on various aerosol properties in different seasons. The average difference in aerosol optical thickness between MO MSU and ZSS, which can characterize the effect of aerosol pollution, has been estimated to be about dAOT = 0.02 in visible spectral region. The most pronounced difference is observed in winter conditions when relative AOT difference can reach 26%. The high correlation of the AOT's, the Angstrom exponent values and the effective radii between the sites confirms that natural processes are the dominating factor in the changes of the aerosol properties even over the Moscow megacity area. The existence of positive correlation between dAOT and difference in water vapor content explains many cases with large dAOT between the sites by the time lag in the airmass advection. However, after excluding the difference due to this factor, AOT in Moscow remains higher even in a larger number of cases (more than 75%) with the same mean dAOT = 0.02. Due to the negative average difference in aerosol radiative forcing at the TOA of about dARF TOA = −0.9 W m −2 , the aerosol urban pollution provides a distinct cooling effect of the atmosphere. The PAR and UV irradiance reaching the ground is only 2-3% lower in Moscow due to the pollution effects, though in some situations the attenuation can reach 13% in visible and more than 20% in UV spectral region.

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Section: Resultssupporting

confidence: 74%

Assessments of urban aerosol pollution in Moscow and its radiative effects

et al. 2011

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“…OMI is a remote sensing space instrument onboard the Aura satellite that provides a raw NO 2 product called DSCD (Differential Slant Column Density), which is retrieved using Differential Optical Absorption Spectroscopy (DOAS) in the 405–465 nm range. Satellite measurements provide valuable data about atmospheric pollutants, including NO 2 [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ] at a large scale. The most refined product of OMI is the tropospheric Vertical Column Density (VCD), which is the result of a near real-time retrieval algorithm that gives a 0.7 × 10 15 molec./cm 2 uncertainty for each individual pixel [ 26 ].…”

Section: Data and Methods/experimentalmentioning

confidence: 99%

Role of Meteorological Parameters in the Diurnal and Seasonal Variation of NO2 in a Romanian Urban Environment

Voiculescu

Constantin

Condurache-Bota

et al. 2020

IJERPH

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The main purpose of this study was to investigate whether meteorological parameters (temperature, relative humidity, direct radiation) play an important role in modifying the NO2 concentration in an urban environment. The diurnal and seasonal variation recorded at a NO2 traffic station was analyzed, based on data collected in situ in a Romanian city, Braila (45.26° N, 27.95° E), during 2009–2014. The NO2 atmospheric content close to the ground had, in general, a summer minimum and a late autumn/winter maximum for most years. Two diurnal peaks were observed, regardless of the season, which were more evident during cold months. Traffic is an important contributor to the NO2 atmospheric pollution during daytime hours. The variability of in situ measurements of NO2 concentration compared relatively well with space-based observations of the NO2 vertical column by the Ozone Monitoring Instrument (OMI) satellite for most of the period under scrutiny. Data for daytime and nighttime (when the traffic is reduced) were analyzed separately, in the attempt to isolate meteorological effects. Meteorological parameters are not fully independent and we used partial correlation analysis to check whether the relationships with one parameter may be induced by another. The correlation between NO2 and temperature was not coherent. Relative humidity and solar radiation seemed to play a role in shaping the NO2 concentration, regardless of the time of day, and these relationships were only partially interconnected.

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“…Irie et al (2008) used MAX-DOAS measurements to validate OMI NO 2 columns during the Mount Tai Experiment 2006 finding that OMI data may have a positive bias of 20% over the North China Plain. Gruzdev and Elokhov (2010) found that tropospheric OMI NO 2 columns measured over Zvenigorod, Russia were approximately 40% lower than ground-based twilight measurements. Vlemmix et al (2010) compared tropospheric ground-based measured NO 2 columns with OMI-satellite tropospheric NO 2 data finding no significant difference and a correlation of 0.88.…”

Section: Introductionmentioning

confidence: 99%

Nitrogen dioxide DOAS measurements from ground and space: comparison of zenith scattered sunlight ground-based measurements and OMI data in Central Mexico

2013

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El uso de datos satelitales en combinación con mediciones realizadas en superficie puede proporcionar información valiosa acerca de la química atmosférica y la calidad del aire. En este estudio se comparan mediciones en superficie de dióxido de nitrógeno (NO 2 ) realizadas mediante la técnica de espectroscopia óptica de absorción diferencial (DOAS, por sus siglas en inglés) con mediciones del instrumento satelital para la medición de ozono (OMI, por sus siglas en inglés) realizadas de 2006 a 2011. Las mediciones realizadas desde la superficie presentaron grandes variaciones diarias y fueron en promedio tres veces más altas que las columnas medidas desde el espacio. La diferencia se atribuye a una fuerte heterogeneidad horizontal presente en la capa inferior de las columnas de NO 2 , las cuales fueron muestreadas por el instrumento satelital a partir de un área extensa; de igual manera, esta discrepancia se atribuye a la sensibilidad reducida del satélite cerca de la superficie, donde se encuentran las mayores concentraciones. A partir de los datos del OMI analizados se reconstruyeron mapas de distribución de NO 2 sobre el centro de México, y se identificaron tres áreas principales de interés: la zona metropolitana de la Ciudad de México, que fue el área predominante; la zona altamente industrializada de Tula, al norte, y el valle de Cuernavaca, al sur. En este análisis se detectaron de igual forma variaciones estacionales de columnas de NO 2 sobre el centro de México: se encontraron columnas más altas durante la estación fría y seca, seguidas por las de la estación caliente y seca; las columnas más bajas se encontraron durante la época de lluvias. Este conjunto de datos evidencia el transporte de contaminación de este gas desde Tula hasta la Ciudad de México, así como al Valle de Cuernavaca. ABSTRACTThe use of satellite data in combination with ground-based measurements can provide valuable information about atmospheric chemistry and air quality. In this study, ground-based Differential Optical Absorption Spectroscopy (DOAS) measurements of nitrogen dioxide (NO 2 ) conducted in central Mexico are compared with the space-borne Ozone Monitoring Instrument (OMI) dataset of 2006-2011. Ground-based measurements exhibited large day-to-day variations and were on average three times higher than the space-borne derived average over the observation site. This difference is attributed to strong horizontal inhomogeneity of the lower layer of the measured NO 2 columns, sampled over a large footprint from the satellite instrument. Also, a reduced sensitivity of the satellite observation near the surface, where the largest concentrations are expected, could be responsible for this large discrepancy. From the analyzed OMI dataset, distribution maps of NO 2 above central Mexico were reconstructed, allowing to identify three main areas with increased NO 2 column densities: The dominating metropolitan area of Mexico City, the heavily industrialized region of Tula to the north and the Cuernavaca valley to the south. In this analysi...

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Validation of Ozone Monitoring Instrument NO₂ measurements using ground based NO₂ measurements at Zvenigorod, Russia

Cited by 30 publications

References 20 publications

Assessments of urban aerosol pollution in Moscow and its radiative effects

Assessments of urban aerosol pollution in Moscow and its radiative effects

Role of Meteorological Parameters in the Diurnal and Seasonal Variation of NO2 in a Romanian Urban Environment

Nitrogen dioxide DOAS measurements from ground and space: comparison of zenith scattered sunlight ground-based measurements and OMI data in Central Mexico

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Validation of Ozone Monitoring Instrument NO2 measurements using ground based NO2 measurements at Zvenigorod, Russia

Cited by 30 publications

References 20 publications

Assessments of urban aerosol pollution in Moscow and its radiative effects

Assessments of urban aerosol pollution in Moscow and its radiative effects

Role of Meteorological Parameters in the Diurnal and Seasonal Variation of NO2 in a Romanian Urban Environment

Nitrogen dioxide DOAS measurements from ground and space: comparison of zenith scattered sunlight ground-based measurements and OMI data in Central Mexico

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Validation of Ozone Monitoring Instrument NO₂ measurements using ground based NO₂ measurements at Zvenigorod, Russia